B.E CSE (AI&ML) programme has been started in PPG in 2023-24 with a vision to innovative academic unit dedicated to exploring and advancing the frontiers of artificial intelligence and data science. Committed to excellence in research, education, and practical applications, the department fosters a collaborative and interdisciplinary environment.
Faculty members engage in cutting-edge research spanning machine learning, natural language processing, computer vision, and data analytics, contributing to the ever- evolving landscape of AI and data science. Students enrolled in the program benefit from a comprehensive curriculum that equips them with the skills and knowledge needed to tackle real-world challenges.
To develop professionals who are skilled in the area of Artificial Intelligence and Machine Learning.
The Stated Vision of the B.E. Computer Science and Engineering (AI&ML) will be achieved by,
MD1: To empower knowledge and skills of learners through real time project and problem- based activities in all parts of learning through innovative pedagogical practices.
MD2: To remain focused in our core and hold ourselves accountable to our stakeholders, through embedded processes of self-evaluation and continuous improvement.
MD3: To develop technical expertise through latest technologies through state-of-the-art facilities.
MD4: To achieve quality education by nurturing collaborative culture in the area of academia and industry towards serving the greater cause of society.
The graduates of B.E. Computer Science and Engineering (AI&ML) will be able to,
PEO1: Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
PEO2: Conduct cutting edge research and develop solutions on problems of social relevance.
PEO3: Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.
The graduates of B.E. Computer Science and Engineering (AI&ML) will be able to,
PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
PO3: Design / Development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5: Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: Communication: Communicate effectively in complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
The graduates of B.E. Computer Science and Engineering (AI&ML) will be able to,
PSO1: Exhibit design and programming skills to build and automate business solutions using cutting edge technologies.
PSO2: Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.
| S.No | Faculty Name | Designation |
|---|---|---|
| 1 | Prof. Manochitra S | Assistant Professor |
| 2 | Prof. Sowmika S | Assistant Professor |
| Programme | Syllabus |
|---|---|
| B.E. Computer Science & Engineering (AI & ML) | View | RR 2021 |